Regulated processes, automated without losing the audit trail.

Complaint handling, CAPA, design controls and field service run under design-history and quality-system rules that punish silent failure. That makes medtech a natural fit for fail-closed automation, and a poor fit for anything that guesses.

People in a working meeting

Where it starts, and what changes.

Read the "before" and find yours. Most medtech teams start here and find that half of what they assumed needed AI didn't.

Below L1 → L1

Complaint intake standardized

Before

Complaints arrive by email, phone and rep, get rekeyed into the QMS, and are classified from memory. The auditor's first question has no clean answer.

After

One intake, one taxonomy, one owner per complaint type: written down and followed. The queue is visible and the audit answer is a document.

L1 → L2

CAPA workflow on your QMS

Before

Due dates live in spreadsheets, signatures are chased by email, and nothing escalates until it's late.

After

Deterministic routing, due dates and escalation on the QMS you already run. Nothing moves without a named owner; nothing goes quiet.

The next two levels for medtech, and what we typically see
L2 → L3

Complaint triage assistant

Before

Reportability is assessed by hand, one complaint at a time, by the few people qualified to do it, and the backlog is measured in weeks.

After

An agent drafts the classification and reportability rationale, stops below a confidence threshold, and every draft is attributed. Qualified people decide; they don't transcribe.

L3 → L4

Post-market signal loop

Before

Trends are assembled quarterly by hand, and the same root cause surfaces again in the next audit.

After

Patterns across complaints, service records and field data surface monthly. The quality owner adjusts thresholds; the change is logged by her team.

2 to 4 wks
typical complaint-to-MDR-decision cycle where triage is manual
60%+
of quality-team time commonly spent on documentation rather than investigation
Every step
logged, attributable and reversible is the design constraint from day one

KPIs that move, and who notices.

Baseline these before anything changes. The Survey instruments them; the Pilot is measured against them.

MetricHow to measure itWho it moves
Complaint cycle timeDays from receipt to closed, median and 90th percentileQuality, regulatory
Reportability decision timeDays from receipt to decisionRegulatory affairs
Investigation share% of quality hours on investigation vs documentationVP Quality
Audit findings on processFindings per audit related to traceability or timelinessQuality, board
What you get when it's built this way

Audit-ready by construction

Every automated decision carries what it saw, what it decided and who signed.

Quality engineers investigate

Documentation stops eating the week.

Signals before findings

Patterns surface monthly instead of in the next audit.

Systems medtech teams usually run on and where we've built.

We start with what you own. None of these is a partnership we take margin on.

Questions medtech teams ask before the first call.

Where should a medtech team start with automation?

With complaint intake standardized. It's the step that returns hours before any software is bought, and it makes everything after it cheaper. The assessment tells you whether your process is already past that point.

Do we need AI to improve complaint to reportability decision?

Usually not at first. Most of the delay in complaint to reportability decision comes from manual hops between systems, which deterministic rules remove. An agent earns its place only where the inputs vary, and we start it read-only.

Which systems do you build on in medtech?

The ones you already run. We start with capability you license and nobody switched on, and we take no margin on anything we recommend. If a different tool would remove a real roadblock, you get the case and the switching cost in writing.

Thirty minutes. Worst case, you lose half an hour.

Bring one process. You leave knowing which level it's on, what to fix first, and whether it's worth doing anything at all.